Latest AI and machine learning research in domestic violence for healthcare professionals.
OBJECTIVE: To investigate whether artificial intelligence-based computer-aided diagnosis (AI-CAD) ca...
OBJECTIVE: To develop an interpretable artificial intelligence algorithm to rule out normal large bo...
BACKGROUND: To assess the impact of da Vinci robot versus thoracoscopic surgery on body trauma and l...
Over the past few years, many machine learning-based scoring functions for predicting the binding of...
This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and e...
Standardized and thorough model reporting is an integral component in the development and deployment...
PURPOSE: Artificial intelligence (AI) is rapidly reshaping how radiology is practiced. Its susceptib...
BACKGROUND: Artificial intelligence (AI) applied to cardiac imaging may provide improved processing,...
Liquid chromatography-high-resolution mass spectrometry (LC-HRMS) is a powerful analytical tool used...
Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to co...
Scientific reproducibility that effectively leverages existing study data is critical to the advance...
Artificial intelligence (AI) and digital innovation are transforming healthcare. Technologies such a...
Background Interstitial lung abnormalities (ILAs) are associated with worse clinical outcomes, but I...
BACKGROUND: Trauma is one of the most critical public health issues worldwide, leading to death and ...
BACKGROUND: Pretreatment identification of pathological extranodal extension (ENE) would guide thera...
Large language models (LLMs) such as ChatGPT are advanced artificial intelligence models that are de...
AIMS: This study's objective was to evaluate whether deep learning (DL) on retinal photographs from ...
The accuracy and timeliness of the pathologic diagnosis of soft tissue tumors (STTs) critically affe...
Cervical cancer is the most common reproductive malignancy in the female reproductive system. The in...
BACKGROUND: To evaluate the value of a deep learning-based computer-aided diagnostic system (DL-CAD)...
OBJECTIVES: The aim of the study is to develop and evaluate the performance of a deep learning (DL) ...